Using Geometric Features of Drag-and-Drop Trajectories to Understand Students' Learning

要旨

Herein, we present two studies on how students’ Psychological State of Decision difficulty (PSD) relates to two aspects of learning, i.e., guessing behavior and learning achievement. To measure PSD, we extracted geometric features from trajectories of drag-and-drop touch interactions collected while students aged 7–10 played a math game on a tablet device. In the first study, we explored whether eight geometric features extracted from 97,303 trial trajectories could be grouped to understand students’ PSD. In the second study, we examined whether the two aspects of learning could be predicted using the data collected from 187 students with geometric features indicating their PSD. This work provides empirical evidence that geometric features can be grouped into two types of PSD in the context of learning, including conflict and uncertainty. Moreover, our results demonstrate that data on students’ PSD collected from drag-and-drop trajectories can be used to predict learning.

著者
Jungwook Rhim
Seoul National University, Seoul, Korea, Republic of
Jiwon Kim
Seoul National University, Seoul, Korea, Republic of
Gahgene Gweon
Seoul National University, Seoul, Korea, Republic of
論文URL

https://doi.org/10.1145/3544548.3581143

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Supporting Learning in Classrooms and Online Courses

Room Y01+Y02
6 件の発表
2023-04-24 20:10:00
2023-04-24 21:35:00